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What is Pirates Plenty Megaways?
Over the course of the campaign’s lifetime, various sectors and subsectors of the industry have been highlighted and the sheer diversity of talent has shone through, year after year. We have had the pleasure of delving into the careers and aspirations of our previous winners, and learned a lot about the make up of the sector along the way.
From recruitment to regulation, cybersecurity, tribal gaming, affiliates, gambling law, C-suite leaders and everything else in between, the campaign has shown that where roles, companies and backgrounds differ, many of the women we have honoured share a united drive to improve diversity within the sector.
This year sees the return of the majority of our judging panel for either the first, second or third consecutive year! Their confidence in the campaign, and how it’s run is a real testament to Most Influential Women, and how highly it is regarded across the sector, particularly as these types of lists and rankings gain popularity across industry media.
What is Pirates Plenty Megaways?
Since then, it has evolved into something broader: a different development pipeline, a different role for developers and quality assurance (QA), a different way of organising teams and, increasingly, a different relationship with customers.
Cubeia’s first phase was an open approach to AI. Developers could use it whenever they wanted. Phase two brought structure, with everyone using the same agents and working through the same AI-driven pipeline. That required Cubeia to solve questions around quality, reliability and how agents could work together, while getting employees comfortable with the new way of working. Grenstad believes that work has largely been completed.
“During the hybrid period in Q1, Cubeia solved 259 issues. Once it moved to the AI-driven process, that figure rose to 421 – a 62% increase. Larger projects increased from 17 to 58. So the answer is yes: moving to AI-driven development has increased our output tremendously,” Grenstad says.
About Pirates Plenty Megaways
While the Polymarket/Yahoo Finance situation is one of the earliest examples of a severed relationship between a prediction market operator and a media entity, that doesn’t mean those “divorces” will permeate the two industries.
There’s widespread belief that old guard media companies are incentivized to feature event contract data on their sites or reference it in select publications as a way of better connecting with younger readers and viewers.
Then there are the financial implications, namely new revenue streams. Prediction market operators typically pay media companies to integrate their data while some outlets also earn referral commissions for driving new business to yes/no exchanges.
